TE is a directional, dynamic measure of predictive information, rather than a measure of the causal information flow from a source and to a destination. To be interpreted as information transfer, the TE should only be applied to causal information sources for the given destination [1]}. We will use the information transfer measured by the TE to establish the presence of and quantify causal relationships between the nodes (neurons) of neural networks.
